Scout24
Senior MLOps / LLMOps Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
New Job?Nejo!
Your personal AI career agent
SCScout24
Senior MLOps / LLMOps Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Building scalable ML and LLM systems, operating self-hosted models and evaluation frameworks for Germany's #1 real estate platform. Strong MLOps, Python, and production system operation skills required. Hybrid work, 30 days vacation, and work-from-abroad option.
Requirements
- Strong MLOps experience (CI/CD, Docker, Kubernetes)
- Experience operating production-grade systems
- Proficiency in Python
- Solid software engineering skills
- Scalable system design skills
- Hands-on LLMs experience
- Generative AI technologies experience (e.g. GPT, Gemini or Anthropic-like models)
- Expertise in prompt engineering
- Expertise in agent orchestration
- Expertise in context management
- Expertise in output validation
- Experience with LLM evaluation frameworks
- Experience deploying self-hosted LLMs
- Familiarity with cloud platforms (e.g. AWS, GCP)
- Familiarity with DevOps practices
- Familiarity with testing practices
- Familiarity with observability practices
- Strong communication skills
- Ability to collaborate with cross-functional teams
- Ability to collaborate with stakeholders
- Support for professional development of people with disabilities
Tasks
- Build scalable ML and LLM-based systems
- Operate self-hosted models and evaluation frameworks
- Ensure platform reliability and robustness
- Shape AI platform for efficient development and deployment
- Enable teams to scale traditional ML and generative AI solutions
- Ensure ML/LLM applications are observable and cost-efficient
- Establish best practices for LLMOps
- Design and maintain scalable ML/LLM infrastructure
- Productionize ML and generative AI solutions
- Own ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation, optimization
- Build and evolve LLM Gateway service
- Standardize access, routing, and governance for LLMs
- Develop evaluation frameworks for quality, performance, reliability
- Design MCP-compatible services for context exchange
- Integrate MCP into internal platforms
- Support tool use, retrieval, and agent-based workflows
- Work with AWS and self-hosted open-source AI models
- Ensure system observability and cost efficiency
- Contribute to project management and stakeholder communication
- Collaborate across teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- CI/CD
- Docker
- Kubernetes
- Python
- LLMs
- GPT
- Gemini
- Anthropic
- AWS
- GCP
Benefits
Flexible Working
- Hybrid work model
More Vacation Days
- 30 days of vacation
Workation & Sabbatical
- Work from abroad (10 days/year)
Other Benefits
- Visa process support
- Structured feedback
- Diversity initiatives
- Support for people with disabilities
- Disability representative
Additional Allowances
- Relocation package
Corporate Discounts
- Employee discount on products
Learning & Development
- Dedicated learning time
- Online courses
- Lunch & Learn events
Diverse Work
- Book challenges
Career Advancement
- Individual career paths
Family Support
- Family service support
Informal Culture
- Dog-friendly office
Public Transport Subsidies
- Public transport subsidy
Company Bike
- Job Bikes
Sustainability Focus
- Environmental and climate protection goals
- 100% green electricity
Team Events
- Social activities
Social Impact
- Charitable organization involvement
Retirement Plans
- Company pension scheme
Healthcare & Fitness
- Gym with courses
- Health check-ups
Modern Office
- Napping room
Startup Environment
- Rooftop terrace
Snacks & Drinks
- Organic coffee
Free or Subsidized Food
- Cafeteria
Mental Health Support
- Massage therapist
- Life Situation Coaching
Modern Equipment
- Latest technical tools and hardware
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scout24 and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Nomitri
Senior DevOps/MLOps(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - ZDF Sparks GmbH
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin
SCScout24
Senior MLOps / LLMOps Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Building scalable ML and LLM systems, operating self-hosted models and evaluation frameworks for Germany's #1 real estate platform. Strong MLOps, Python, and production system operation skills required. Hybrid work, 30 days vacation, and work-from-abroad option.
Requirements
- Strong MLOps experience (CI/CD, Docker, Kubernetes)
- Experience operating production-grade systems
- Proficiency in Python
- Solid software engineering skills
- Scalable system design skills
- Hands-on LLMs experience
- Generative AI technologies experience (e.g. GPT, Gemini or Anthropic-like models)
- Expertise in prompt engineering
- Expertise in agent orchestration
- Expertise in context management
- Expertise in output validation
- Experience with LLM evaluation frameworks
- Experience deploying self-hosted LLMs
- Familiarity with cloud platforms (e.g. AWS, GCP)
- Familiarity with DevOps practices
- Familiarity with testing practices
- Familiarity with observability practices
- Strong communication skills
- Ability to collaborate with cross-functional teams
- Ability to collaborate with stakeholders
- Support for professional development of people with disabilities
Tasks
- Build scalable ML and LLM-based systems
- Operate self-hosted models and evaluation frameworks
- Ensure platform reliability and robustness
- Shape AI platform for efficient development and deployment
- Enable teams to scale traditional ML and generative AI solutions
- Ensure ML/LLM applications are observable and cost-efficient
- Establish best practices for LLMOps
- Design and maintain scalable ML/LLM infrastructure
- Productionize ML and generative AI solutions
- Own ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation, optimization
- Build and evolve LLM Gateway service
- Standardize access, routing, and governance for LLMs
- Develop evaluation frameworks for quality, performance, reliability
- Design MCP-compatible services for context exchange
- Integrate MCP into internal platforms
- Support tool use, retrieval, and agent-based workflows
- Work with AWS and self-hosted open-source AI models
- Ensure system observability and cost efficiency
- Contribute to project management and stakeholder communication
- Collaborate across teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- CI/CD
- Docker
- Kubernetes
- Python
- LLMs
- GPT
- Gemini
- Anthropic
- AWS
- GCP
Benefits
Flexible Working
- Hybrid work model
More Vacation Days
- 30 days of vacation
Workation & Sabbatical
- Work from abroad (10 days/year)
Other Benefits
- Visa process support
- Structured feedback
- Diversity initiatives
- Support for people with disabilities
- Disability representative
Additional Allowances
- Relocation package
Corporate Discounts
- Employee discount on products
Learning & Development
- Dedicated learning time
- Online courses
- Lunch & Learn events
Diverse Work
- Book challenges
Career Advancement
- Individual career paths
Family Support
- Family service support
Informal Culture
- Dog-friendly office
Public Transport Subsidies
- Public transport subsidy
Company Bike
- Job Bikes
Sustainability Focus
- Environmental and climate protection goals
- 100% green electricity
Team Events
- Social activities
Social Impact
- Charitable organization involvement
Retirement Plans
- Company pension scheme
Healthcare & Fitness
- Gym with courses
- Health check-ups
Modern Office
- Napping room
Startup Environment
- Rooftop terrace
Snacks & Drinks
- Organic coffee
Free or Subsidized Food
- Cafeteria
Mental Health Support
- Massage therapist
- Life Situation Coaching
Modern Equipment
- Latest technical tools and hardware
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scout24 and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Scout24
Industry
RealEstate
Description
Das Unternehmen revolutioniert den Immobilienmarkt in Deutschland und Österreich und baut ein digitales Ökosystem für Hausbesitzende, Suchende und Makler auf.
Not a perfect match?
- Scout24
Senior MLOps / LLMOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Nomitri
Senior DevOps/MLOps(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - ZDF Sparks GmbH
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin